Research Fellow (Monitoring Recovery)

Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked 11th globally. It is also placed 1st amongst the world’s best young universities. The Earth Observatory in Singapore (EOS) at NTU Singapore is a national science Research Center of Excellence. Its mission is to conduct fundamental research on earthquakes, volcanic eruptions, tsunami and climate change in and around Southeast Asia, toward safer and more sustainable societies. The successful candidate will work in a vibrant scientific department, participating in research on active faults and earthquakes around Southeast Asia.

We invite applications for a Research Fellow who will join a dynamic, expanding research group that investigates the complex impact that natural hazards have on society (https://disaster-analytics.com/). In particular, the selected candidate will be the lead researcher in a project on monitoring post-disaster recovery.The work will involve collecting and analyzing complex data on disaster recovery (including field-based and remote data), reviewing theoretical models and metrics of recovery and building statistical models to test them against empirical data, and sharing key findings to academic and practicing audiences.

Duties & Responsibilities: 

  • Analysis of current datasets, as well as collection of new datasets from recent disaster events
  • Conception, design, prototype and implementation of solutions to collect and analyze complex data on disaster recovery
  • Convening regular project discussion with international collaborators and stakeholders
  • Manage field-data collection missions, with support of junior lab members
  • Create and maintain code documentation, libraries and databases for the project.
  • Mentor junior colleagues, as needed
  • Communication of findings through academic publishing and communication with practitioners

Requirements: 

  • PhD degree in environmental sciences, engineering, policy or other related field
  • Experience with statistical programming with R or Python
  • Demonstrated experience working with complex data, including both qualitative and quantitative data
  • Experience working or researching in post-disaster contexts a plus
  • Knowledge of the international disaster recovery actors, frameworks and processes a plus
  • Logical thinking and creative problem solving is essential
  • Ability to examine data and results critically for potential errors and inconsistencies
  • Self-driven, highly motivated, collaborative, with interest to work with other researchers and scientists (team player) to produce high-quality and impactful research
  • Interest in the field of natural hazards and reducing their impacts on society
  • Excellent oral and written communication skills

Application: 

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